Marketplace listings
Choose the Marketplace Actor when listings are the records you want to search, collect, export, or monitor.
Product collection
Facebook Scrapers for Marketplace & Comments
Compare Facebook scrapers for Marketplace listings and public comments, with live pricing, adoption, ratings, and direct Apify access.
Choose between listing discovery and conversation analysis with two focused Facebook Actors built for different public-data workflows.
Start with the data you need.
The record type determines the right Actor. Use this short guide before comparing the live product details.
Comments and engagement data
Choose the Comments Actor when the conversation beneath a public post, page, or group is the source you need.
Compare the products.
Pricing, adoption, runs, and ratings come from the current public Apify listings and refresh every six hours.
Extract data from Facebook Marketplace listings and export to CSV, JSON, or use through a powerful API.
- Price
- From $0.00085 per event
- Users
- 639
- Runs
- 739.9K
- Rating
- 1.39/5
Extract Facebook comments from any post, page, or group. Download hundreds of comments with user data and engagement metrics in JSON, CSV, or Excel format.
- Price
- From $0.0008 per comment
- Users
- 699
- Runs
- 115.8K
- Rating
- 5/5
How to choose
Facebook Marketplace listings and Facebook comments may come from the same platform, but they solve very different research problems. Marketplace work is centered on offers and listing records. Comment work is centered on public discussion and engagement. Keeping those sources separate makes the input clearer and produces datasets that are easier to use downstream.
Choose the Facebook Marketplace Scraper when your workflow starts with Marketplace discovery. It is the relevant product for collecting listing data and exporting the results into the formats and integrations supported by Apify. Typical next steps include market research, inventory observation, category analysis, or feeding structured listing records into another internal process.
Choose the Facebook Comments Scraper when the target is the public response beneath Facebook content. It extracts comments with available user and engagement information from supported public posts, pages, or groups. That makes it the appropriate starting point for conversation review, audience research, moderation support, and structured analysis of public reactions.
The practical selection rule is simple: if each desired row should represent a listing, use Marketplace; if each desired row should represent a comment, use Comments. Avoid choosing only by platform name. Starting from the record type keeps exports consistent and prevents a later automation from receiving the wrong schema.
Both products run on Apify, where you can inspect their current input options, output examples, pricing, API integration, schedules, and run history. Test the selected Actor with a small public input before scaling a recurring workflow. The prices, adoption figures, and ratings shown on this page are synchronized from the live Apify listings rather than copied into this guide.
A focused Actor also keeps recurring jobs easier to maintain. Inputs can stay aligned with one source, output validation can target one record type, and failures are easier to diagnose than in a workflow that mixes listings with conversations. Once the small test produces the expected fields, the same Apify run can be scheduled, called through the API, or connected to the next step in an automation.